Knowledge Engineer: Semantic Data & Graphs

Associated Bank - Corp; Chicago (IL); On-site; USD 93,000 - 159,000; Full time

Job summary

Associated Bank in Chicago is seeking a Knowledge Engineer to help build the foundation that enables data to be trusted, connected, and understood across the organization. You’ll partner with business and technology teams to create shared data definitions and semantic models that improve decision-making, governance, and AI capabilities.

This role offers the opportunity to influence enterprise data strategy while growing expertise in modern knowledge technologies, semantic web standards, and

Qualifications

• Bachelor's degree in CS/IS/Data Science or related field, or equivalent experience.
• 3+ years with semantic technologies, data modeling, graph databases, and semantic web standards.
• 3+ years delivering enterprise data solutions across architecture, engineering, governance.

Responsibilities

• Develop enterprise semantic models, ontologies, and knowledge graphs.
• Define metadata standards and data relationships for governance and compliance.
• Align data from multiple systems to shared business definitions and standards.
• Partner with data architecture, engineering, governance, AI, and business teams to translate business needs into scalable semantic solutions.
• Enable advanced data discovery and analytics using semantic web standards, graph technologies, and knowledge modeling practices.
• Support AI-ready data capabilities by designing semantic frameworks for context, search, and insights.
• Promote enterprise data consistency through metadata, lineage, and governance practices.

Skills

Semantic technologies

Data modeling

Graph databases

Knowledge representation

Cross-functional collaboration

Education

Bachelor's degree in Computer Science or related field

Bachelor's degree in Data Science (preferred)

Tools

Neo4j Certified Professional

SnowPro Advanced

Job description

Associated Bank in Chicago is seeking a Knowledge Engineer to help build the foundation that enables data to be trusted, connected, and understood across the organization. You’ll partner with business and technology teams to create shared data definitions and semantic models that improve decision-making, governance, and AI capabilities.

This role offers the opportunity to influence enterprise data strategy while growing expertise in modern knowledge technologies, semantic web standards, and